Shestakov Mikhail P
Research Institute of Sport Problems, Russian State University of Physical Education, Moscow, Russia.
J Physiol Anthropol Appl Human Sci. 2005 Jul;24(4):367-70. doi: 10.2114/jpa.24.367.
The use of artificial neural networks for simulation of the control of an anthropomorphic mechanism when its mass-inertia characteristics are changing is considered in this paper. It is shown in theory that the change in mass-inertia characteristics of the model does not have a linear relationship with the output parameter but a spurt-like change in the pattern of the output function after a certain threshold. The data of the model experiment served as a basis for a full-scale test with discus throwers who had different height-weight parameters during a year of study. Specific traits in the technique of standing discus throwing are shown, and their dependence on the changes of anthropometric characteristics of sportsmen.
本文考虑了在拟人化机构的质量惯性特性发生变化时,使用人工神经网络对其控制进行模拟的情况。理论表明,模型质量惯性特性的变化与输出参数不存在线性关系,而是在达到一定阈值后,输出函数模式呈现出类似突增的变化。在为期一年的研究中,以模型实验数据为基础,对不同身高体重参数的铁饼投掷运动员进行了全面测试。展示了站立式铁饼投掷技术的具体特点,以及它们对运动员人体测量特征变化的依赖性。